Fig. 6 Complexity of substate sequences.

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Presentation transcript:

Fig. 6 Complexity of substate sequences. Complexity of substate sequences. State switching found for each feature (firing, storage, and sharing) did not align in time. This can be visualized by state switching tables, whose different rows graphically represent transitions between global brain oscillatory states and firing, storage, and sharing substates. (A) Examples of switching tables for mEC during anesthesia (top) and for mPFC during natural sleep (bottom; note the different time scales). (B) Switching tables were neither perfectly regular (top left) nor random (top right), but they were “complex,” displaying organized patterns escaping simple description (bottom). (C) The complexity of the switching tables was larger for THE/REM than for SO/nonREM for most recordings. We included two recordings from mPFC under anesthesia for comparison. (D) Switching tables were complex in all cases. Complexity values were significantly above the upper threshold for regularity and below the lower threshold for randomness. (E) The increase of complexity was significant for mEC when transitioning from SO to THE and for mPFC from nonREM to REM sleep. This trend in CA1 was not statistically significant [significance assessed in terms of lack of intersection between 95% confidence intervals and threshold values for both (D) and (E)]. Asterisks indicate that the number of recordings in this category was not enough to assess significance, but that the median value lay below or above the considered threshold. Wesley Clawson et al. Sci Adv 2019;5:eaax4843 Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).